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Cardiovascular MR Image Analysis

  • Milan Sonka
  • Daniel R. Thedens
  • Boudewijn P. F. Lelieveldt
  • Steven C. Mitchell
  • Rob J. van der Geest
  • Johan H. C. Reiber
Chapter
  • 830 Downloads
Part of the Advances in Pattern Recognition book series (ACVPR)

Summary

Magnetic resonance (MR) imaging allows 2D, 3D, and 4D imaging of living bodies. The chapter1 briefly introduces the major principles of magnetic resonance image generation, and focuses on application of computer vision techniques and approaches to several cardiovascular image analysis tasks. The enormous amounts of generated MR data require employment of automated image analysis techniques to provide quantitative indices of structure and function. Techniques for 3D segmentation and quantitative assessment of left and right cardiac ventricles, arterial and venous trees, and arterial plaques are presented.

Keywords

Cardiac Magnetic Resonance Medial Axis Active Appearance Model Magnetic Resonance Image Analysis Double Inversion Recovery 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Springer-Verlag London Limited 2005

Authors and Affiliations

  • Milan Sonka
    • 1
  • Daniel R. Thedens
    • 1
  • Boudewijn P. F. Lelieveldt
    • 2
  • Steven C. Mitchell
    • 1
  • Rob J. van der Geest
    • 2
  • Johan H. C. Reiber
    • 2
  1. 1.The University of IowaIowa CityUSA
  2. 2.Leiden University Medical CenterLeidenThe Netherlands

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